Articles

When Microservices Are a Bad Idea

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On paper, microservices sound wonderful. They are modular, scalable, and fault tolerant. A lot of companies have had great success using this model, so microservices might naturally seem to be the superior architecture and the best way to start new applications.

However, most firms that have succeeded with microservices did not begin with them. Consider the examples of Airbnb and Twitter, which went the microservice route after outgrowing their monoliths and are now battling its complexities. Even successful companies that use microservices appear to still be figuring out the best way to make them work. It is evident that microservices come with their share of tradeoffs.

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Automatically Creating Microservices Architecture Diagrams

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In application development, microservices is an architectural style where larger applications are structured as a collection of smaller, independent, yet interconnected services. While this allows for highly maintainable and testable applications (as each service can be maintained independent of the larger application), the problem with this method is the inherent complexity of interactions between microservices. It can be difficult for developers and team members to visualize how these microservices are connected to each other. We have been looking for ways to produce architectural diagrams that illustrate these interactions. We found that GraphViz helped us to solve part of this problem, as it can take the microservices structure of an application in the DOT language and convert it into a PNG format. However, we wanted this process to be even more user-friendly and more automatic, so that the user would not have to manually generate a DOT file of their microservices architecture. 

In-Browser Tool

As we could not find such a tool, we decided to create one ourselves. We decided that the most user-friendly interface would be to create an in-browser tool that allows the user to upload a jar  file containing a packaged service, and to have an image automatically rendered. This article discusses how we went about creating this tool and includes an example of what happens « behind the scenes » of this interface. 

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Securing Kubernetes Secrets With HashiCorp Vault

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As more and more organizations making the shift to cloud-native technologies, Kubernetes has become the de facto choice to orchestrate container-based applications. As applications grow in size, the number of microservices increases and so does the data they process. Hence, handling data, especially sensitive data becomes critical. Out of the box, Kubernetes supports « Secrets » objects to store sensitive information — like passwords, tokens, ssh keys, and so on — securely.

Kubernetes secret eliminates the need to hard-code sensitive data in the application code. Secrets provide this sensitive information as data mount or expose them as environment variables.

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Bring Streaming to Apache Cassandra with Apache Pulsar

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Twitch, YouTube, Instagram, Facebook — virtually every major brand nowadays uses live streaming to connect and engage their audience. For enterprises and developers building cloud-native applications, this growing trend creates a need for streaming technologies that can reliably handle the rush of massive amounts of data, while also being flexible and easy to manage for developers.

One such technology is Apache Pulsar® — an open-source, distributed messaging and streaming platform that’s easy to deploy, simple to scale, and packed with developer-friendly APIs. So the next question is: how can you stream from Pulsar to Apache Cassandra®, the powerful NoSQL database designed to support data-heavy applications in the cloud?

Join our beginner-friendly Pulsar workshop on YouTube and learn how to connect Pulsar with Cassandra for streaming! In this post, we’ll set the scene with an introduction to Pulsar and guide you through four hands-on exercises where you’ll use these free, cloud-native technologies: Katacoda, Kesque, GitPod, and DataStax Astra DB. Each exercise will also be linked to the step-by-step instructions on the DataStax Developers GitHub wiki.

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Release Management for Microservices: Multi vs. Monorepos

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Imagine a microservice application consisting of dozens of continuously-deployed autonomous services. Each of the application’s constellation of services has its own repository, with a different versioning scheme and a different team continually shipping new versions.

Riddle me this: How can I tell the (whole) application’s version? Being that the change history is scattered among dozens of repositories, what’s the most efficient approach to keeping track of changes? And how do we manage application releases?

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Introduction to Serverless With AWS Lambda and Bitrise API: Part 1

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In the early days of software development, anyone seeking to develop a web, mobile, or backend application had to own the hardware required to run a server, which is an expensive process.

Then, when cloud computing came, it became possible to lease server space or a number of servers remotely. The developers and companies who rent these fixed units of server space generally overbuy to ensure that a spike in traffic or activity won’t exceed their monthly limits and break their applications. Because of this, a lot of the server space that gets paid for can be wasted.

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Using AWS Lambda Function URL To Build a Serverless Backend for Slack

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A combination of AWS Lambda and Amazon API Gateway is a widely-used architecture for serverless microservices and API-based solutions. They enable developers to focus on their applications, instead of spending time provisioning and managing servers.

API Gateway is a feature-rich offering that includes support for different API types (HTTP, REST, WebSocket), multiple authentication schemes, API versioning, canary deployments, and much more! However, if your requirements are simpler and all you need is an HTTP(S) endpoint for your Lambda function (for example, to serve as a webhook), you can use Lambda Function URLs! When you create a function URL, Lambda automatically generates a unique HTTP(S) endpoint that is dedicated to your Lambda function.

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How to Use Shipa to Make Kubernetes Adoption Easier for Developers

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Kubernetes offers developers tremendous advantages… if they can overcome the platform’s inherent complexities. It can be a big « if. » Without additional tooling, developers aren’t able to simply develop their applications on Kubernetes, but must also become experts in writing complex YAML templates to define Kubernetes resources. A relatively new tool called Shipa provides an application management framework that largely relieves developers of this burden, enabling dev teams to ship applications with no Kubernetes expertise required.

Having recently put the tool to the test, this article will demonstrate how to install and utilize Shipa to simplify Kubernetes and ease some common developer frustrations.

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Micronaut: Rapid Development With MicrostarterCLI

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MicrostarterCLI is a rapid development tool for Micronaut applications. It helps you as a developer to generate standard reusable codes, configurations, or patterns as you need in your application. 

Application Description

In this article, we will develop an ArabicNames service that has REST and GraphQL endpoints. To begin with the development, we will generate a Micronaut application project from Micronaut Launch. Then, we will use MicrostarterCLI to develop the following: 

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Observability for Monitoring Microservices: Top 5 Tools

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With microservices architecture becoming the de facto standard for web applications now, effective debugging and anomaly detection calls for a system that is observable — which means, the internal state of an application can be inferred by observing and tracking the metrics, traces, and logs.

Observability is all about data exposure and easy access to information required to find issues when the communications fail, internal events do not occur as expected or events occur when they shouldn’t. Here, you’ll learn and know about different microservices monitoring tools and how to monitor microservices. Let’s take a look!

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